Picture of Margrit Betke from January 2012 Graduate Student Applicants IVC Logo Camera Mouse Website Computer Vision Links Women in CS CSR cs-webmail
Margrit Betke, Professor, Department of Computer Science

Short Bio and Funding, Long CV

Education: Ph.D. in Computer Science and Electrical Engineering, Massachusetts Institute of Technology
Research: Biological and Biomedical Image Analysis, Computer Vision, and Assistive Technologies, in particular,
Publications: Recent publications and full list of publications, Google Scholar profile, Microsoft Academic Search profile, ACM Digital Library profile, DBLP profile.
Former Postdocs: Randa Elanwar and Zheng Wu.
Students: PhD students: Ajjen Joshi, Wenxin Feng, Andrew Kurauchi, Mehrnoosh Sameki, Elham Saraee. MA, UROP students: Ashutosh Sanan, Kratesh Ramrakhyani. Huy Le. Former PhD students: Danna Gurari, Diane Theriault. Mikhail Breslav, Student Awards.
Teaching: Artificial Intelligence (CS 440/640) in Spring 2018, Room KCB 101, Tue, Thu 12:30-1:45 pm
Image and Video Computation (CS 585) in Fall 2016: Tue/Thu 12:30-2 pm, MCS B19
Geometric Algorithms (CS 132) in Fall 2010
Graduate Initiation Seminar (CS 697) in Spring 2017: Fri 10:10-11:25, PHO 211.
Directed Study in Image and Video Computing: CAS CS 492, GRS CS 941, or GRS CS 979, or Directed Study in AI: GRS CS 941, ongoing.
Office Hours: Spring 2018: Tue 1:45-2, 3-4, Wed 10:30-11, Thu 1:45-2, and by appointment in MCS 286, except after lectures, meet outside the classroom.
Awards: Margrit Betke was elected to Senior Member of the ACM and Senior Member of the IEEE in October 2012. She was one of two academics to win the "Top 10 Women to Watch in New England" Award in 2005. More importantly, many of her student research assistants have won various awards.
In the Press: Group Behavior: BU.
Camera Mouse: Video Interview, BU, Kablenet, Belfast Telegraph, MassHighTech, Bradford Telegraph & Argus
Empathic Painting: BBC, ABC News, SydneyMH, The Hindu, DigitalWorld Tokyo, Inky, Canada TecChannel - M√ľnchen, Frontpage - Netherlands
Free Software: Camera Mouse - a program that enables a person with severe disabilities to control the mouse pointer on the computer screen just by moving the head (see also research version).
Camera Canvas - image editing software developed for people with severe motor impairments who cannot use their hands to operate a mouse or keyboard. It can be used with the Camera Mouse or other mouse-replacement tools. Camera Canvas enables users to edit images and draw pictures just by moving their heads.
Patent: "Method and system for the detection, comparison and volumetric quantification of pulmonary nodules on medical computed tomography scans." Inventors Margrit Betke and Jane P. Ko., US Patent 7,206,462, issued on April 17, 2007.
Editor: Associate Editor, Editorial Board of the journal IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Associate Editor, Editorial Board of the journal Computer Vision and Image Understanding (CVIU)


M. Betke and Z. Wu. 2016. Data Association for Multi-Object Visual Tracking. Morgan & Claypool Lecture Series on Computer Vision. 120 pages.

Recent Publications:

Journal Papers in 2017:

D. Gurari, K. He, B. Xiong, J. Zhang, M. Sameki, S. D. Jain, S. Sclaroff, M. Betke, and K. Grauman. "Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)." International Journal of Computer Vision. 17 pages. In press, January 2018.

J. Zhang, S. Ma, M. Sameki, S. Sclaroff, M. Betke, Z. Lin, X. Shen, B. Price, and R. Mech "Salient Object Subitizing," International Journal of Computer Vision, 124:169-186, September 2017.

A. Joshi, C. Monnier, M. Betke, and S. Sclaroff. "Comparing random forest approaches to segmenting and classifying gestures." Image and Video Computing, 58:86-95, February 2017. Online Article.

Conference Papers in 2017:

M. Sameki, T. Zhang, L. Ding, M. Betke, and D. Gurari. "Crowd-O-Meter: Predicting the Vulnerability of Crowd Workers to False News." The Fifth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2017), Quebec City, Canada, October 24-26, 2017, 10 pages.

A. Joshi, S. Ghosh, M. Betke, S. Sclaroff, and H. Pfister. "Personalizing Gesture Recogntion using Hierarchical Bayesian Neural Networks," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Waikiki Beach, Hawaii, July 2017, 10 pages.

E. Saraee, S. Singh, K. Hendron, M. Zheng, A. Joshi, T. Ellis, and M. Betke. "ExerciseCheck: Remote Monitoring and Evaluation Platform for Home Based Physical Therapy." 10th Annual International Conference on Pervasive Technologies Related to Assistive Environments (PETRA'17), Rhodes, Greece. June 2017.

E. Saraee, S. Singh, A. Joshi and M. Betke. "PostureCheck: Posture modeling for exercise assessment using the Microsoft Kinect." International Conference on Virtual Rehabilitation (ICVR), June 2017.

E. Saraee and A. Joshi and M. Betke. "A therapeutic robotic system for the upper body based on the Proficio robotic arm." International Conference on Virtual Rehabilitation (ICVR), June 2017.

L. Guo, K. Mays, M. Sameki, and M. Betke. "From crowdsourcing to crowdcoding: An alternative approach to annotate big data in communication research." International Communication Association (ICA) 67th Annual Conference, San Diego, May 2017.

Earlier Publications:

Image of Research Results
Margrit Betke, Professor
Computer Science Department
Boston University
111 Cummington Mall, Rm MCS 286
Boston, MA 02215 ( campus map )
Email: betke @ cs.bu.edu
URL: http://www.cs.bu.edu/faculty/betke
Phone: 617-353-8919 (or 6412)
Fax: 617-353-6457
Last updated: February 2017
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